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- micropython @projects:internetofthings
- ====== micropython ====== ===== esptools / ampy ===== <code> pip install esptool pip install adafruit-am... p32 ===== Download firmware from http://www.micropython.org/download erase flash (before any micropython deploy) <code> export PORT=/dev/ttyUSB1 esptool.py --ch... ==== Based on [[https://github.com/loboris/MicroPython_ESP32_psRAM_LoBo|loboris fork]] of micropython <
- vscode @projects:zibaldone
- abSize": 4, "editor.insertSpaces": true, "python.formatting.provider": "black" } </file> <code> c... -extension eg2.tslint code --install-extension ms-python.python </code> ===== docker ===== on vscodium enable marketplace and install dev-containers extension <... Folder": "/app/mev_query", "extensions": [ "ms-python.python", "ms-python.vscode-pylance" ], "setti
- occhiali @projects:iotaiuto
- ulsante va collegato a GND e a un GPIO ==== Micropython vs Circuitpython ==== Su git sono presenti due versioni del codice per gli occhiali: per esp32 e per raspberry pi pico Micropython supporta esp32, che ha il bluetooth, ma ha meno librerie di circuitpython Per micropython potete usare la IDE Thonny Circu
- jetsonnano @projects:internetofthings
- 922 MHz (0.92 GHz) </code> ===== python 3.8 ===== <code> sudo apt install libssl-dev zli... ffi-dev uuid-dev </code> <code> wget https://www.python.org/ftp/python/3.8.0/Python-3.8.0b3.tgz tar zxvf Python-3.8.0b3.tgz cd Python-3.8.0b3 CFLAGS=-DOPENSSL_NO_SSL2 ./configu
- plate
- .com/puzzledqs/BBox-Label-Tool.git </code> <file python convert.py> import os from os import walk, getcwd... ile.close() </file> Train.txt Text.txt <file python process.py> import glob, os # Current directory ... *.jpg rm *.jpg </code> Go to main folder and run python main.py <code> python main.py </code> Write 001 inside Image Dir box and load Create a label for each i
- docs @projects:wamp
- * Containers: application components written in Python * Guest Workers: arbitrary programs spawned ===== WAMP router ===== Use python **only** 2.x prereq <code> apt-get install python-virtualenv python-dev libffi-dev \ libssl-dev libxml2-dev libxslt1-dev libyaml-dev </code> <code> pip
- freenove @projects:internetofthings
- etc/modprobe.d/snd-blacklist.conf </code> ===== python library ===== <code="bash"> git clone https://gi... _4WD_Smart_Car_Kit_for_Raspberry_Pi/Code/Server sudo python test.py Motor sudo python test.py Led </code>
- graphite @projects:internetofthings
- graphite:_graphite /var/lib/graphite/graphite.db #python /usr/lib/python2.7/dist-packages/graphite/manage.py syncdb </code> ==== apache ==== <code bash> sudo ap... <code bash> apt install nginx uwsgi uwsgi-plugin-python </code> <file ini /etc/uwsgi/apps-enabled/graphi... te/local_settings.py buffer-size = 65536 plugin = python </file> <code bash> systemctl restart uwsgi </co
- python @projects:zibaldone
- ====== Python ====== ===== type hints cheat sheet (python 3.9+) ===== <file python> from typing import Optional, Callable, Match, MutableMapping, Mapping x: int
- broadlink @projects:internetofthings
- ode> wget https://raw.githubusercontent.com/mjg59/python-broadlink/master/cli/broadlink_cli wget https://raw.githubusercontent.com/mjg59/python-broadlink/master/cli/broadlink_discovery chmod +x
- influxdb @projects:internetofthings
- ery --data-urlencode "q=SHOW DATABASES" </code> python test <code python> from influxdb import InfluxDBClient client = InfluxDBClient('carbon.csgalileo.org', 80
- iotaiuto @projects:internetofthings
- xxxxxxx sudo reboot </code> ==== INSTALLAZIONE PYTHON3 + HOME-ASSISTANT + RELATIVO SERVIZIO ABILITATO sul O.S. ==== <code bash> # 1. installare python3 e relativi componenti a corredo sudo apt install python3 python3-venv incron mc python3-dev libffi-dev libssl-dev python3 -m venv ~/lib . ~/lib/bin/activate echo
- iotaiuto_skill @projects:internetofthings
- ith: * function name 'iotaiuto' * runtime python 3.7 * choose execution role, select lambda_io... per ricaricare la skill\\ Per inserire dei log in python è sufficiente usare la funzione print\\ Dopo ogni
- objectdetection @projects:internetofthings
- rator/|coral accelerator]] install <code> yay -S python-tensorflow-cuda python -mvenv --system-site-packages venv source venv/bin/activate.fish pip install wheel
- led @projects:iotaiuto
- ml aggiungendo: <code> shell_command: led_ok: python ~/led_scripts/led.py ok led_error: python ~/led_scripts/led.py error </code> Vedere il file led.py p